Sander van der Hoog

885 total citations
30 papers, 520 citations indexed

About

Sander van der Hoog is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Sander van der Hoog has authored 30 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 8 papers in General Economics, Econometrics and Finance and 6 papers in Finance. Recurrent topics in Sander van der Hoog's work include Complex Systems and Time Series Analysis (15 papers), Economic theories and models (15 papers) and Banking stability, regulation, efficiency (6 papers). Sander van der Hoog is often cited by papers focused on Complex Systems and Time Series Analysis (15 papers), Economic theories and models (15 papers) and Banking stability, regulation, efficiency (6 papers). Sander van der Hoog collaborates with scholars based in Germany and France. Sander van der Hoog's co-authors include Herbert Dawid, Christophe Deissenberg, Philipp Harting, Michael Neugart, Simon Gemkow, Simon Coakley, Silvano Cincotti, Marco Raberto, Herbert Gintis and Antoine Mandel and has published in prestigious journals such as Journal of Economic Behavior & Organization, Applied Mathematics and Computation and Industrial and Corporate Change.

In The Last Decade

Sander van der Hoog

29 papers receiving 490 citations

Peers

Sander van der Hoog

EE

GEEF

FINAN

MSOR

SPS

Jakob Grazzini Italy

Philipp Harting Germany

Yingying Xu China

Wendun Wang Netherlands

Reinhard Neck Austria

Stephen R. Cosslett United States

Christophe Deissenberg France

Andreas Pick Netherlands

Владимир Кузин Germany

Juan M. Rodríguez‐Póo Spain

Jakob Grazzini Italy

Sander van der Hoog

361 ×1.0

EE

143 ×0.9

GEEF

122 ×1.1

FINAN

96 ×1.2

MSOR

19 ×0.6

SPS

Citations per year, relative to Sander van der Hoog Sander van der Hoog (= 1×) peers Jakob Grazzini

Countries citing papers authored by Sander van der Hoog

Since Specialization

Citations

This map shows the geographic impact of Sander van der Hoog's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sander van der Hoog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sander van der Hoog more than expected).

Fields of papers citing papers by Sander van der Hoog

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sander van der Hoog. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sander van der Hoog. The network helps show where Sander van der Hoog may publish in the future.

Co-authorship network of co-authors of Sander van der Hoog

This figure shows the co-authorship network connecting the top 25 collaborators of Sander van der Hoog. A scholar is included among the top collaborators of Sander van der Hoog based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sander van der Hoog. Sander van der Hoog is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Dawid, Herbert, Philipp Harting, & Sander van der Hoog. (2019). Manager remuneration, share buybacks, and firm performance. Industrial and Corporate Change. 28(3). 681–706. 13 indexed citations

2.

Dawid, Herbert, Simon Gemkow, Philipp Harting, Sander van der Hoog, & Michael Neugart. (2018). Agent-based macroeconomic modeling and policy analyses: The Eurace@Unibi Model. TUbilio (Technical University of Darmstadt). 1 indexed citations

3.

Dawid, Herbert, Simon Gemkow, Philipp Harting, Sander van der Hoog, & Michael Neugart. (2018). Agent-Based Macroeconomic Modeling and Policy Analysis. Oxford University Press eBooks. 5 indexed citations

4.

Dawid, Herbert, Philipp Harting, Sander van der Hoog, & Michael Neugart. (2017). Data for the paper: Macroeconomics with Heterogeneous Agent Models: Fostering Transparency, Reproducibility and Replication. PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations

5.

Hoog, Sander van der. (2016). Deep Learning in Agent-Based Models: A Prospectus. SSRN Electronic Journal. 9 indexed citations

6.

Dawid, Herbert, Philipp Harting, Sander van der Hoog, & Michael Neugart. (2016). A Heterogeneous Agent Macroeconomic Model for Policy Evaluation: Improving Transparency and Reproducibility. SSRN Electronic Journal. 19 indexed citations

7.

Dawid, Herbert, Philipp Harting, Sander van der Hoog, & Michael Neugart. (2016). A Heterogeneous Agent Macroeconomic Model for Policy Evaluation: Improving Transparency and Reproducibility. Journal of Evolutionary Economics. 1 indexed citations

8.

Dawid, Herbert & Sander van der Hoog. (2015). Bubbles, Crashes and the Financial Cycle: Insights from a Stock-Flow Consistent Agent-Based Macroeconomic Model. SSRN Electronic Journal. 17 indexed citations

9.

Hoog, Sander van der. (2015). The Limits to Credit Growth: Mitigation Policies and Macroprudential Regulations to Foster Macrofinancial Stability and Sustainable Debt. SSRN Electronic Journal. 8 indexed citations

10.

Gemkow, Simon, Philipp Harting, & Sander van der Hoog. (2014). Eurace@Unibi Model v1.0 Source Code. PUB – Publications at Bielefeld University (Bielefeld University). 3 indexed citations

11.

Dawid, Herbert, Simon Gemkow, Philipp Harting, Sander van der Hoog, & Michael Neugart. (2014). Agent-Based Macroeconomic Modeling and Policy Analysis: The Eurace@Unibi Model. PUB – Publications at Bielefeld University (Bielefeld University). 27 indexed citations

12.

Hoog, Sander van der, et al.. (2014). ETACE Virtual Appliance. PUB – Publications at Bielefeld University (Bielefeld University). 2 indexed citations

13.

Holcombe, Mike, Silvano Cincotti, Marco Raberto, et al.. (2013). Large-scale Modelling of Economic Systems. Complex Systems. 22(2). 4 indexed citations

14.

Holcombe, Mike, Simon Coakley, Mariam Kiran, et al.. (2013). Large-Scale Modeling of Economic Systems. Complex Systems. 22(2). 175–192. 18 indexed citations

15.

Dawid, Herbert, Simon Gemkow, Philipp Harting, Sander van der Hoog, & Michael Neugart. (2011). Eurace@Unibi Model v1.0 User Manual. Publikationen an der Universität Bielefeld (Universität Bielefeld). 7 indexed citations

16.

Deissenberg, Christophe, Sander van der Hoog, & Herbert Dawid. (2008). EURACE: A massively parallel agent-based model of the European economy. Applied Mathematics and Computation. 204(2). 541–552. 164 indexed citations

17.

Hoog, Sander van der. (2008). On the disequilibrium dynamics of sequential monetary economies. Journal of Economic Behavior & Organization. 68(3-4). 525–552. 1 indexed citations

18.

Hoog, Sander van der & Christophe Deissenberg. (2007). Modelling Requirements for EURACE. PUB – Publications at Bielefeld University (Bielefeld University). 57(2). 211–4. 1 indexed citations

19.

Hoog, Sander van der, Simon Coakley, Michael Neugart, & Marco Raberto. (2007). Modelling Specifications for EURACE. PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations

20.

Hoog, Sander van der. (2004). On Multi-Agent Based Simulation. PUB – Publications at Bielefeld University (Bielefeld University). 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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